Update SYNOP and pwk

fidle/pwk.py

@@ -30,7 +30,7 @@ import matplotlib.pyplot as plt
 import seaborn as sn     #IDRIS : module en cours d'installation
 
 from IPython.display import display,Image,Markdown,HTML
-VERSION='0.4.4'
+VERSION='0.5.0'
 
 _save_figs = False
 _figs_dir  = './figs'
@@ -382,6 +382,39 @@ def plot_donut(values, labels, colors=["lightsteelblue","coral"], figsize=(6,6),
     save_fig(save_as)
     plt.show()
     
+
+    
+def plot_multivariate_serie(sequence, labels=None, prediction=None, only_features=None,
+                            columns=3, width=5,height=4,wspace=0.3,hspace=0.2,
+                            save_as='auto'):
+    
+    sequence_len = len(sequence)
+    features_len = sequence.shape[1]
+    if only_features is None : only_features=range(features_len)
+    if labels is None        : labels=range(features_len)
+        
+    t=np.arange(sequence_len)
+
+    rows = math.ceil(features_len/columns)
+    fig  = plt.figure(figsize=(columns*width, rows*height))
+    fig.subplots_adjust(wspace=0.3,hspace=0.2)
+    n=1
+    for i in only_features:
+        ax=fig.add_subplot(rows, columns, n)
+        ax.plot(t,       sequence[:,i],    '-',  linewidth=1,   color='steelblue', label=labels[i])
+        ax.plot(t,       sequence[:,i],    'o',  markersize=4, color='steelblue')
+        ax.plot(t[-1],   sequence[-1:,i],  'o',  fillstyle='full',  markersize=8, color='steelblue')
+        if prediction is not None:
+            ax.plot(t[-1],   [prediction[0][i]],     'o',  fillstyle='full',  markersize=8, color='red')
+
+        ax.legend(loc="upper left")
+        n+=1
+    save_fig(save_as)
+    plt.show()
+
+ 
+    
+    
     
 def set_save_fig(save=True, figs_dir='./figs', figs_name='fig_', figs_id=0):
     """